Quant Developer (Python)

Position Overview: The Quantitative Development team works directly with quantitative researchers to design, implement, deploy and use software for research and trading. As part of the technology team, the team follows modern software development principles and works with peers in technology to mature and evolve these tools for wider use. Quantitative developers drive cross-team initiatives with technologists and quantitative researchers across all asset classes to achieve Squarepoint’s objectives. Work with quantitative researchers to design and build efficient and scalable workflows for research and trading Collaborate closely with team members and peers in technology to ensure global consistency and maximize re-use of software components Assume strong ownership of projects throughout their full engineering lifecycle Provide level 2 support for critical components Required qualifications: Degree in applied math, physics, engineering, quantitative finance, computer science 4 or more years’ experience with Python, C++, or KDB+/q Knowledge of finance, data storage, processing and analysis Experience with modern software development: version control, agile development Excellent technical communication skills Nice to have: Advanced quantitative skills Experience with requirements analysis and designing software solutions Experience with continuous integration (CI), logging and monitoring systems Database experience